MROrder

MROrder is an automated MapReduce job ordering optimizaton prototype system. It targets at the online MapReduce workloads where MapReduce jobs arrives over time for various perfomane metrics, such as makespan, total completion time. There are two core components for MROrder, i.e., policy module and ordering module. The policy module decides when and how to perform job ordering dynamcially. The ordering engine, consists of two engines, namely, simulation-based engine and algorithm-based engine. It is responsible for implementing job ordering. Users just need to input some simple arguments. For example, users need to designate the job ordering performance metric( e.g., makespan, total completion time). The MROrder then starts to do job ordering optimization automatically for online MapReduce jobs, based on user's configuration.